Uber Data Analyst 

United States, West Virginia 

572323035

About the Role

This role is all about collaboration, as you'll work closely with operations, engineering, product management, and partner data teams. You'll be in charge of developing and owning operations metrics, unearthing key insights, conducting in-depth analyses to unearth new opportunities, and presenting your findings. Plus, you'll collaborate with partners to craft innovative policy and product solutions, all while keeping a close eye on impact measurement. Your influence will be pivotal in steering critical product and policy decisions.

What You'll Do

• Refine ambiguous questions and generate fresh hypotheses about our product and business landscape, drawing on a deep understanding of our data, customers, and business dynamics.
• Define success metrics by crafting Key Performance Indicators and other user/business metrics in close partnership with Product and other relevant teams like engineering, operations, and marketing.
• Team up with data scientists and engineers to enhance the availability, integrity, accuracy, and reliability of data logging and pipelines.
• Derive data-driven business insights and collaborate with cross-functional partners to uncover opportunities and prioritize product, growth, and optimization initiatives.
• Design experiments and interpret results to glean detailed and impactful conclusions.
• Master the art of storytelling: distill intriguing and elusive insights into compelling, concise data narratives.
• Communicate effectively and nurture relationships with partners hailing from both technical and non-technical backgrounds.
• Exhibit advanced expertise in experimental design and statistical methods, including causal inference.
• Take on complex business challenges spanning multiple product/project areas and teams, striking the perfect balance between attention to detail and swift execution.

What You'll Need

• Proven track record of 4+ years in product analytics or a comparable role.
• M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or another quantitative field.
• Advanced proficiency in SQL (Hive, Spark, and other big data tools are a plus) and Python.
• Familiarity with experimental design (e.g., A/B experiments) and statistical methods.
• Ability to extract insights from data and distill learnings into clear takeaways.
• Experience with dashboarding and data visualization tools such as Tableau, Mixpanel, Looker, or similar.
• Exceptional judgment, critical-thinking, and decision-making skills.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .